Repository Planning Graph Encoder: A Unified, High Fidelity Representation for AI Assisted Coding Microsoft Research just released RPG-Encoder, aiming to solve a problem every software engineer knows too well: navigating massive repos without losing your mind. Current AI agents fail at repository comprehension because they either: • Read docs (semantic intent) but can't navigate code structure • Follow dependency graphs (execution paths) but miss the "why" RPG-Encoder bridges this gap by treating comprehension and generation as inverse processes in a closed loop: expanding intent into implementation, then compressing implementation back into intent. RPG-Encoder: • Creates a dual-view knowledge graph combining semantic features with code dependencies • Achieves 93.7% accuracy localizing bugs at the function level (SWE-bench) • Reconstructs entire repos from scratch with 98.5% coverage • Updates incrementally — 95.7% cheaper than rebuilding from scratch Current repository agents encounter a reasoning disconnect due to fragmented representations, as existing methods rely on isolated API documentation or dependency graphs that lack semantic depth. RPG-Encoder considers repository comprehension and generation to be inverse processes within a unified cycle: generation expands intent into implementation, while comprehension compresses implementation back into intent. The framework generalizes the Repository Planning Graph (RPG) from a static generative blueprint into a unified, high-fidelity representation. RPG-Encoder closes the reasoning loop through three mechanisms: (1) Encoding raw code into the RPG that combines lifted semantic features with code dependencies; (2) Evolving the topology incrementally to decouple maintenance costs from repository scale, reducing overhead by 95.7%; and (3) Operating as a unified interface for structure-aware navigation. Evaluation results highlight superior fine-grained precision in complex codebases. Think: better code search, automated debugging, and repo-level understanding that doesn't hallucinate. Paper: arxiv.org/abs/2602.02084 Code: github.com/microsoft/RPG-Zer… Project: ayanami2003.github.io/RPG-En… Prior Work: arxiv.org/abs/2509.16198 #SoftwareEngineering #MachineLearning #CodeGeneration #DeveloperTools #AI #MLOps #SoftwareDevelopment #CodeQuality #AIForDevelopers #TechInnovation #ComputerScience #DevOps #AutomatedCoding -- 📩 The Year of the Graph Winter 2025-2026 newsletter issue is out! The Ontology issue: From knowledge to graphs and back again 👇 yearofthegraph.xyz/newslette… All things #KnowledgeGraph, #GraphDB, Graph #Analytics / #DataScience / #AI and #SemTech. Subscribe and follow to be in the know. Reach out if you'd like to be featured

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